69 citations · 75 across the 6 of their papers we have counts for
7 papers
RealCam-I2V: Real-World Image-to-Video Generation with Interactive Complex Camera Control
Teng Li, Guangcong Zheng, Rui Jiang +9
Recent advancements in camera-trajectory-guided image-to-video generation offer higher precision and better support for complex camera control compared to text-based approaches. Ho…
CoBEV: Elevating Roadside 3D Object Detection with Depth and Height Complementarity
Hao Shi, Chengshan Pang, Jiaming Zhang +6
Roadside camera-driven 3D object detection is a crucial task in intelligent transportation systems, which extends the perception range beyond the limitations of vision-centric vehi…
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
Huanzhang Dou, Pengyi Zhang, Wei Su +3
Gait is one of the most promising biometrics that aims to identify pedestrians from their walking patterns. However, prevailing methods are susceptible to confounders, resulting in…
PanoVPR: Towards Unified Perspective-to-Equirectangular Visual Place Recognition via Sliding Windows across the Panoramic View
Ze Shi, Hao Shi, Kailun Yang +3
Visual place recognition has gained significant attention in recent years as a crucial technology in autonomous driving and robotics. Currently, the two main approaches are the per…
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method
Xixi Xu, Chao Lu, Liang Zhu +5
Most modern Multi-Object Tracking (MOT) systems typically apply REID-based paradigm to hold a balance between computational efficiency and performance. In the past few years, numer…
Dual Path Multi-Scale Fusion Networks with Attention for Crowd Counting
Liang Zhu, Zhijian Zhao, Chao Lu +3
The task of crowd counting in varying density scenes is an extremely difficult challenge due to large scale variations. In this paper, we propose a novel dual path multi-scale fusi…
Qiniu Submission to ActivityNet Challenge 2018
Xiaoteng Zhang, Yixin Bao, Feiyun Zhang +7
In this paper, we introduce our submissions for the tasks of trimmed activity recognition (Kinetics) and trimmed event recognition (Moments in Time) for Activitynet Challenge 2018.…